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OverviewThis sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/9781107113084. Full Product DetailsAuthor: Steve Selvin (University of California, Berkeley)Publisher: Cambridge University Press Imprint: Cambridge University Press Dimensions: Width: 18.40cm , Height: 3.50cm , Length: 26.10cm Weight: 1.200kg ISBN: 9781107113084ISBN 10: 1107113083 Pages: 578 Publication Date: 20 October 2015 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Temporarily unavailable The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you. Table of ContentsPart I. Basics: 1. Statistical distribution; 2. Confidence intervals; 3. A weighted average; 4. Two discrete probability functions; 5. Correlation; Part II. Applications: 6. The 2 x 2 table; 7. Linear bivariate regression model; 8. The 2 x k table; 9. The log-linear Poisson regression model; 10. Two-way and three-way tables analysis; 11. Bootstrap analysis; 12. Graphical analysis; 13. The variance; 14. The log-normal distribution; 15. Nonparametric analysis; Part III. Survival: 16. Rates; 17. Nonparametric survival analysis; 18. The Weibull survival function; Part IV. Epidemiology: 19. Prediction, a natural measure of performance; 20. The attributable risk summary; 21. Time/space analysis; 22. ROC curve and analysis; Part V. Genetics: 23. Selection: a statistical description; 24. Mendelian segregation analysis; 25. Admixed populations; 26. Nonrandom mating; Part VI. Theory: 27. Statistical estimation; Part VII. R-Appendix.ReviewsAdvance praise: 'Professor Selvin is a master at making statistical procedures and their complex underpinnings accessible to students of all levels of expertise. This book is a brilliant compendium of Professor Selvin's tremendous understanding of the breadth and depth of biostatistical tools that he delivers to the reader with superb clarity. A broad range of salient statistical concepts are covered, pleasantly anchored with a brief history, described formally for the more initiated reader, and expertly illustrated with real-life data examples that are readily understood by the less mathematically inclined. Researchers from a myriad of scientific disciplines seeking masterful guidance about conducting their statistical data analysis will absolutely want this book at their fingertips.' Gary Shaw, Stanford University, California 'Professor Selvin is a master at making statistical procedures and their complex underpinnings accessible to students of all levels of expertise. This book is a brilliant compendium of Professor Selvin's tremendous understanding of the breadth and depth of biostatistical tools that he delivers to the reader with superb clarity. A broad range of salient statistical concepts are covered, pleasantly anchored with a brief history, described formally for the more initiated reader, and expertly illustrated with real-life data examples that are readily understood by the less mathematically inclined. Researchers from a myriad of scientific disciplines seeking masterful guidance about conducting their statistical data analysis will absolutely want this book at their fingertips.' Gary Shaw, Stanford University, California 'Professor Selvin is a master at making statistical procedures and their complex underpinnings accessible to students of all levels of expertise. This book is a brilliant compendium of Professor Selvin's tremendous understanding of the breadth and depth of biostatistical tools that he delivers to the reader with superb clarity. A broad range of salient statistical concepts are covered, pleasantly anchored with a brief history, described formally for the more initiated reader, and expertly illustrated with real-life data examples that are readily understood by the less mathematically inclined. Researchers from a myriad of scientific disciplines seeking masterful guidance about conducting their statistical data analysis will absolutely want this book at their fingertips.' Gary Shaw, Stanford University, California Professor Selvin is a master at making statistical procedures and their complex underpinnings accessible to students of all levels of expertise. This book is a brilliant compendium of Professor Selvin's tremendous understanding of the breadth and depth of biostatistical tools that he delivers to the reader with superb clarity. A broad range of salient statistical concepts are covered, pleasantly anchored with a brief history, described formally for the more initiated reader, and expertly illustrated with real-life data examples that are readily understood by the less mathematically inclined. Researchers from a myriad of scientific disciplines seeking masterful guidance about conducting their statistical data analysis will absolutely want this book at their fingertips. Gary Shaw, Stanford University, California Author InformationSteve Selvin is a Professor of Biostatistics in the School of Public Health at University of California, Berkeley and was the head of the division from 1977 to 2004. He has published over 250 papers and authored several textbooks in the fields of biostatistics and epidemiology. His book, Survival Analysis for Epidemiologic and Medical Research, was published by Cambridge University Press in 2008. Tab Content 6Author Website:Countries AvailableAll regions |
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